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A method for making group inferences from functional MRI data using independent component analysis
A novel approach for drawing group inferences using ICA of fMRI data is introduced, and its application to a simple visual paradigm that alternately stimulates the left or right visual field is presented. Expand
Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability.
Data is presented suggesting that excellent interrater reliability can be established for diagnosis in a day-and-a-half-long training workshop and on the Structured Interview for Prodromal Syndromes and the Scale of ProDromal Symptoms. Expand
A Baseline for the Multivariate Comparison of Resting-State Networks
- E. Allen, E. Erhardt, +31 authors V. Calhoun
- Computer Science, Medicine
- Front. Syst. Neurosci.
- 4 February 2011
A multivariate analytic approach that optimizes sensitivity and reduces unnecessary testing is introduced and is demonstrated by identifying the effects of age and gender on the resting-state networks of 603 healthy adolescents and adults. Expand
DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking
- H. Jiang, P. Zijl, Jinsuh Kim, G. Pearlson, S. Mori
- Computer Science, Medicine
- Comput. Methods Programs Biomed.
- 1 February 2006
A versatile resource program was developed for diffusion tensor image (DTI) computation and fiber tracking, based on the Fiber Assignment by Continuous Tracking (FACT) algorithm and a brute-force reconstruction approach. Expand
Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms
A careful examination of some of the assumptions behind ICA methodologies is reported, examples of when applying ICA would provide difficult‐to‐interpret results, and suggestions for applying I CA to fMRI data especially when more than one task‐related component is present in the data are offered. Expand
Aberrant "default mode" functional connectivity in schizophrenia.
- A. G. Garrity, G. Pearlson, K. McKiernan, D. Lloyd, K. Kiehl, V. Calhoun
- Psychology, Medicine
- The American journal of psychiatry
- 1 March 2007
Schizophrenia is associated with altered temporal frequency and spatial location of the default mode network, and this network may be under- or overmodulated by key regions, including the anterior and posterior cingulate cortex. Expand
A method for functional network connectivity among spatially independent resting-state components in schizophrenia
A novel approach for quantifying functional connectivity among brain networks identified with spatial ICA is presented and applied to functional magnetic resonance imaging (fMRI) data collected from persons with schizophrenia and healthy controls. Expand
Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia
The results support and expand current knowledge regarding dysconnectivity in schizophrenia, and strongly advocate the use of dynamic analyses to better account for and understand functional connectivity differences. Expand
Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients
- Michal Assaf, K. Jagannathan, +6 authors G. Pearlson
- Computer Science, Psychology
- 15 October 2010
The hypothesis that DM-SNs under-connectivity contributes to the core deficits seen in ASD is supported, and data provide further support for the use of data-driven analysis with resting-state data for illuminating neural systems that differ between groups. Expand
Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks
Recent TCN studies are reviewed with emphasis on those that use ICA, showing that TCNs are robust, and can be consistently identified at rest and during performance of a cognitive task in healthy individuals and in patients with schizophrenia. Expand